Senior Software Engineer I - Java Python Full Stack

India | Sept. 10, 2026

Report as Closed

Company: UnitedHealth Group

Country: India

Type: Onsite

Employment: Full Time

Description:

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.  

Primary Responsibilities:

• Design, develop, test, deploy, monitor and maintain production software across APIs, services, applications, data workflows and cloud-native components
• Apply AIDLC practices to specify outcomes, plan technical approaches, decompose work into executable tasks, implement solutions and validate results across the full delivery lifecycle
• Use enterprise-approved AI-assisted development tools for requirements analysis, solution design, coding, refactoring, code review, documentation, test generation and release-readiness activities, with human accountability for all production outputs
• Develop secure, maintainable code using modern engineering principles, design patterns, data structures, algorithms and object-oriented or functional techniques
• Implement CI/CD pipelines, version control, automated builds, static analysis, dependency and security scanning, deployment controls and rollback strategies
• Design for operational excellence by adding telemetry, structured logging, metrics, tracing, alerting, health checks and runbooks, and diagnose production issues and perform root-cause analysis
• Collaborate with product, architecture, quality, security, data, platform and operations partners to clarify requirements, manage dependencies and deliver incremental business value
• Modernize legacy components, automate manual workflows and create reusable engineering assets that improve team throughput, consistency and maintainability
• Participate in Agile planning, refinement, estimation, reviews and retrospectives, and use evidence and delivery metrics to improve flow, quality and predictability
• Share knowledge through peer reviews, pairing, technical documentation and practical coaching on AIDLC, testing and software engineering practices
• Quality Engineering and Testing
  • Build quality in from the start by defining acceptance criteria and test strategies and by creating maintainable automated unit, component, API, integration, contract, end-to-end, regression, performance, security and resiliency tests
  • Use test-driven development, behavior-driven development or equivalent quality-first practices, analyze coverage gaps, defects and failure patterns, and improve reusable test data, frameworks and CI quality gates
  • Define and validate non-functional requirements, including performance, scalability, reliability, security, accessibility and operability
  • Use AI-assisted test generation, test-data creation and coverage-gap analysis while applying human review to edge cases, ambiguous requirements and high-risk changes
  • Integrate automated tests, static analysis and security scans into CI/CD quality gates, and trace validation evidence to requirements and acceptance criteria
• AI-Driven Development Expectations
  • Adopt AIDLC as a way of working, not simply a tooling choice, by using clear specifications, context-rich plans, incremental tasks, automated validation and accountable human review
  • Use only enterprise-approved AI tools and follow applicable security, privacy, compliance and responsible-AI policies, and never expose confidential, proprietary, regulated or personal data to unapproved services
  • Critically evaluate AI-generated code and content for correctness, security, maintainability, licensing, bias, performance and alignment with engineering standards before use
  • Measure and improve outcomes such as lead time, automation coverage, escaped defects, change failure rate, recovery time, deployment frequency and developer experience
  • Contribute reusable prompts, skills, patterns, tests and lessons learned so the broader team can scale safe and effective AI-assisted delivery
• Expected Impact
  • Accelerate delivery of strategic roadmap capabilities by converting well-defined requirements into smaller, testable increments and using AI assistance to reduce cycle time f

    Apply here:

    Web: Apply here

    Emails: